Analytics Engineer — Data Analytics & Transformation (DAT)

Description: Celonis is seeking an Analytics Engineer to work within the Data Analytics & Transformation (DAT) team, focusing on data engineering, semantics, data science, and process excellence. The role involves writing SQL and Python, building models and data products, and collaborating with stakeholders across various business functions. Requirements: 2–4 years of experience in analytics engineering, data/business analytics, or BI development. Proficiency in SQL and Python, with experience in handling large datasets and using AI in analytics workflows. Strong statistical knowledge, software engineering practices, and ability to communicate data insights to non-technical stakeholders. A degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field. Benefits: Ownership from Day 1 with Restricted Stock Units (RSUs) and merit-based grants. Unlimited PTO and flexible hybrid work model. Comprehensive parental leave policy and wellness programs. Opportunities for continuous growth through learning frameworks and mentorship. Participation in community and environmental initiatives through annual Impact Days.